Reliability
Showing 19 of 19 projects
An organized reading list of patterns, case studies, and articles on building scalable, reliable, and performant large-scale systems.
A durable execution platform for building scalable, reliable applications with automatic failure handling.
A flow control component for microservices enabling reliability, resilience, and real-time monitoring.
A curated list of awesome Site Reliability Engineering (SRE) and Production Engineering resources.
A curated list of Chaos Engineering resources, including tools, books, papers, and educational materials.
A fast, friendly, functional programming language designed for building reliable software.
Static code analysis tool for Kubernetes YAML and Helm charts that provides recommendations to improve reliability and security.
A Ruby job queue that uses PostgreSQL's advisory locks for high performance and ACID reliability.
A CLI-driven toolkit for writing and running Chaos Engineering experiments across any platform via extensions.
A Docker container that automatically monitors and restarts unhealthy containers using Docker's HEALTHCHECK feature.
A Go HTTP middleware library for injecting faults like latency, errors, and request rejection into services for resilience testing.
A Ruby gem providing a simple and reliable beanstalkd-powered job queue for background processing.
A Ruby-based process monitoring tool that automatically restarts failed processes and manages daemons.
A Sidekiq extension that makes long-running jobs interruptible and resumable with checkpointing.
A background job processing library for Elixir using RabbitMQ for reliable messaging and job queuing.
A JVMTI agent that forcibly terminates the JVM when it cannot allocate memory or create threads.
A lightweight Go library that handles RabbitMQ auto-reconnect, publishing retry, and channel pooling to simplify robust messaging.
A collection of Node-RED nodes that add self-healing capabilities to improve reliability and resilience in IoT and automation flows.
Record and deterministically replay AI agent executions by intercepting LLM API calls, enabling offline trace capture and future fault injection.
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